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Simulating Cosmological Evolution with Enzo

2007/05/10 by Michael L. Norman, Norman, Michael L., Greg L. Bryan +12
Computer Science · Physics and Astronomy · #Advanced Data Storage Technologies #Computational Physics and Python Applications #Scientific Research and Discoveries #astro-ph

paper · pdf · doi:10.48550/arxiv.0705.1556

22 pages, 6 figures. To appear in Petascale Computing: Algorithms and Applications, Ed. D. Bader, CRC Press LLC (2007)

arxiv created 2007/05/10 · arxiv updated 2009/12/01

Abstract

In this paper we describe our massively parallel version of Enzo, a multiphysics, parallel, AMR application for simulating cosmological structure formation developed at UCSD and Columbia. We describe its physics, numerical algorithms, implementation, and performance on current terascale platforms. We also discuss our future plans and some of the challenges we face as we move to the petascale.

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